About Sumedh Khodke
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Viewed 1080
About me
I’m a second-year graduate student in Data Science at SUNY University at Buffalo, graduating in December 2022. I previously worked as an ML SWE at a growth stage startup with a total experience of 2.5yrs.
My current research interests lie in Applied Machine Learning, Language modelling and ML training optimization techniques. I like to work in the sphere of intersection of Machine Learning and Software engineering stuff with special interests in Natural Language Processing. Always on the lookout to explore and contribute in the space intersecting these fields.
For a detailed overview of my work and projects, please see https://sumedhkhodke.com/
• Languages: Expert – Python, Intermediate – C++, Basic – Java/J2EE, C, Golang, Jax, R
• Libraries: Pandas, NumPy, SciPy, Sk-learn, Keras, PyTorch, TensorFlow, Flair, Fastai 2, NLTK, Spacy
• Data Visualization: Tableau, PowerBI, d3.js, seaborn, matplotlib
• Tools and Databases: Celery, Git, SVN, Bitbucket, Docker, Spark, Arrow, SQL, Redis, MongoDB
• Web Development and Cloud: HTML5, CSS3, Django, Flask, FastAPI, Streamlit, AWS, GCP
• Certifications: Coursera – Deep Learning Specialization, AI for Everyone, AI for Medical Diagnosis
Education
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2023
University at Buffalo, The State University of New York
MS, Data Science
Coursework: Probability, Statistical Learning, Numerical Computing, Analysis of Algorithms, Machine Learning, Deep Learning
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2018
Pune Institute of Computer Technology, University of Pune
Bachelor of Engineering, Computer Engineering
Coursework: Data Structures, Operating Systems, Business Intelligence, Databases, Advanced Mathematics, Software Engineering
Experience
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2019 - 2021
Rubiscape - Inteliment Technologies
Software Engineer, Machine Learning
• Designed and developed an NLP project on text classification with comparative performance analysis for word embeddings using Flair stacked-embedding framework, using CNN-LSTM, and using Transformer based Attention mechanism achieving a maximum of 73% F-1 score
• Worked as Module Lead and developer for Rubisight, an interactive data visualization software. Responsible to handle elements to define, conceptualize, design, develop and optimize it
• Worked as a member of technical staff at Rubiscape, a data science platform. Responsible for implementing several customized data aggregators and machine learning implementations at a production scale as platform features -
2017 - 2018
Walnut App Division
Machine Learning Intern, Research
• Researched and benchmarked NLP tasks of Word Embeddings, Text classification, Sentiment Analysis and NER followed by rapid prototyping